Own desire, instructions + Opus 4.6 Never thought I would be able to generate such a design with AI (having no design/Figma knowledge — learning rn). Any compliments on it? Possible improvements?

Got a solid piece of feedback from a peer in the community recently about how we handle older signals. Time-Decay Scoring. Instead of signals just sitting there giving a lead a high score forever, EagleCross now automatically degrades a signal's value as it ages. The AI knows the difference between signals, too: - Fast signals (like a server outage or a new SDR job post) decay quickly so you don't reach out too late. - Standard signals - Slow signals (like funding rounds or M&A) retain their value for months because those budgets take time to deploy. We know every GTM motion is different, so put the control in your hands (w/ caution). Choose your new Lookback Window: - Aggressive (30 days): Pure, high-intent recent signals. Lower volume, but insane conversion rates. - Balanced (90 days): The sweet spot. Perfect for most SaaS sales cycles. - Lenient (180 days): Cast a wide net. Best for long enterprise deal cycles. Lmk what you think of the update. Which Lookback Window are you setting your account to? 👇

Previously posted about Eaglecross that scrapes for leads' signals and intents. then generates hyper-personalized icebreakers and subject lines that get replies. Now gonna add the time decay feature for the signals. It will score the leads acc to the freshness of the signal, and not to mention, not all the signals will have the same time decay. For example, hiring for an SDR signal will have a lower time decay window, like 7 days or 14 days, according to your ICP. and standard signals, like funding signals, will have around a 60-day to 90-day window And more...

Just added advanced analysis for pro users that searches for some advanced signals (check ss). No, not shipping it to everyone rn. Need to improve significantly for advanced analysis (not easy). Any suggestions on what signals work the best for your niche?

My cold emails were failing. My “personalization” was too. “Loved your post…” = ignored. So I built a signal-based system instead: Hiring spikes Product launches Role changes Real problems across the internet Now it’s: Saw you’re hiring fast — scaling issue? That gets replies. Core is done. Still improving hiring signals. Would mind sharing what signals could get some replies in your niche?